Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter

A novel method for middle frequency resonance detection and reduction is proposed for speed control in industrial servo systems. Defects of traditional resonance reduction method based on adaptive notch filter in middle frequency range are analyzed. And the main reason is summarized as the differenc...

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Main Authors: Wen-Yu Wang, An-Wen Shen
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2012/478907
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author Wen-Yu Wang
An-Wen Shen
author_facet Wen-Yu Wang
An-Wen Shen
author_sort Wen-Yu Wang
collection DOAJ
description A novel method for middle frequency resonance detection and reduction is proposed for speed control in industrial servo systems. Defects of traditional resonance reduction method based on adaptive notch filter in middle frequency range are analyzed. And the main reason is summarized as the difference between the resonance frequency and the oscillation frequency. A self-tuning low-pass filter is introduced in the speed feedback path, whose corner frequency is determined by FFT results and several self-tuning rules. With the proposed method the effective range of the adaptive filter is extended across the middle frequency range. Simulation and Experiment results show that the frequency detection is accurate and resonances during the speed steady states and dynamics are successfully reduced.
format Article
id doaj-art-a64a0a26f2a94df8bd0927da6dd2a88d
institution Kabale University
issn 1687-5249
1687-5257
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-a64a0a26f2a94df8bd0927da6dd2a88d2025-02-03T01:29:17ZengWileyJournal of Control Science and Engineering1687-52491687-52572012-01-01201210.1155/2012/478907478907Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass FilterWen-Yu Wang0An-Wen Shen1Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, ChinaDepartment of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, ChinaA novel method for middle frequency resonance detection and reduction is proposed for speed control in industrial servo systems. Defects of traditional resonance reduction method based on adaptive notch filter in middle frequency range are analyzed. And the main reason is summarized as the difference between the resonance frequency and the oscillation frequency. A self-tuning low-pass filter is introduced in the speed feedback path, whose corner frequency is determined by FFT results and several self-tuning rules. With the proposed method the effective range of the adaptive filter is extended across the middle frequency range. Simulation and Experiment results show that the frequency detection is accurate and resonances during the speed steady states and dynamics are successfully reduced.http://dx.doi.org/10.1155/2012/478907
spellingShingle Wen-Yu Wang
An-Wen Shen
Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter
Journal of Control Science and Engineering
title Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter
title_full Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter
title_fullStr Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter
title_full_unstemmed Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter
title_short Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter
title_sort detection and reduction of middle frequency resonance for industrial servo with self tuning lowpass filter
url http://dx.doi.org/10.1155/2012/478907
work_keys_str_mv AT wenyuwang detectionandreductionofmiddlefrequencyresonanceforindustrialservowithselftuninglowpassfilter
AT anwenshen detectionandreductionofmiddlefrequencyresonanceforindustrialservowithselftuninglowpassfilter